Publications and Presentations

H. Wang, X.-F. Jiang, and M. Ebrahimi. "Scheduled Sampling for Recursive Multi-Step GPU Temperature Forecasting". The 23rd International Conference on Machine Learning and Applications (ICMLA 2024), Dec 18-20, 2024, Miami, FL, USA, 2024. (Accepted for publication)
M. Smith, L. Zhao, J. Cordova, X.-F. Jiang, and M. Ebrahimi. “Machine Learning-based Energy-efficient Workload Management for Data Centers”. 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 2024, pp. 799-802, doi: 10.1109/CCNC51664.2024.10454842.
D. J. Castrejon, C. Wang, D. Osmak, B. Kukadiya, L. Liu, M. Giraldo, X.-F. Jiang. "Machine Learning-based California Wildfire Risk Prediction and Visualization". The 22nd International Conference on Machine Learning and Applications (ICMLA 2023), Dec 15-17, 2023, Jacksonville, FL, USA, 2023, pp. 1212-1217, doi: 10.1109/ICMLA58977.2023.00182.
M. Smith, L. Zhao, J. Cordova, X.-F. Jiang, and M. Ebrahimi. "Energy-efficient GPU-intensive Workload Scheduling for Data Centers". 2023 Symposium for Undergraduate Research in Data Science, Systems, and Security (REU Symposium 2023), Special Session at the 22nd International Conference on Machine Learning and Applications (ICMLA 2023), Dec 15-17, 2023, Jacksonville, FL, USA, 2023, pp. 1735-1740, doi: 10.1109/ICMLA58977.2023.00263.

Poster Presentations

Bhumil Kukadiya, David J. Castrejon, Connor Wang, Denys Osmak, Li Liu, Mario Giraldo. "Energy-efficient Geo-Information Visualization and User Interaction", IEEE GREEN ENERGY AND SMART SYSTEMS CONFERENCE (IGESSC) 2023, Long Beach, CA, Nov 13, 2023. (Best Poster Award)
Rachel Finley, "On the Efficacy of Machine Learning to Inform Thermal and Energy Aware Load Balancing for GPU Clusters". 13th Annual Out in Science, Technology, Engineering, and Mathematics (oSTEM) Conference, Anaheim, CA, Nov 9-12, 2023.
Rachel Finley and Xunfei Jiang, "On the Efficacy of Machine Learning to Inform Thermal and Energy Aware Load Balancing for GPU Clusters". SoCal REU Symposium 2023, July 26, 2023, University of Southern California, Los Angeles, LA.
Matthew Smith, Luke Zhao, Jonathan Cordova, Xunfei Jiang, Mahdi Ebrahimi, "Machine Learning-based Energy-efficient Workload Management for Data Centers", SoCal REU Symposium 2023, July 26, 2023, University of Southern California, Los Angeles, LA.
David J. Castrejon, Connor Wang, Denys Osmak, Bhumil Kukadiya, Li Liu, Mario Giraldo, Xunfei Jiang, "California Wildfire Risk Prediction and Visualization". SoCal REU Symposium 2023, July 26, 2023, University of Southern California, Los Angeles, LA.
Adel Tazhibi, Nathan Dong, Kavyalata Kothari, Taehyung Wang, "Energy Prediction for Automobile Air Conditioning Systems". SoCal REU Symposium 2023, July 26, 2023, University of Southern California, Los Angeles, LA.